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252034

Sigma-Aldrich

1,1′,3,3,3′,3′-Hexamethylindotricarbocyanine iodide

97%

Synonym(s):

2-[7-(1,3-Dihydro-1,3,3-trimethyl-2H-indol-2-ylidene)-1,3,5-heptatrienyl]-1,3,3-trimethyl-3H-indolium iodide, HITC iodide

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About This Item

Empirical Formula (Hill Notation):
C29H33IN2
CAS Number:
19764-96-6
Molecular Weight:
536.49
EC Number:
243-282-2
MDL number:
MFCD00011950
UNSPSC Code:
12352103
PubChem Substance ID:
57648119
NACRES:
NA.23

assay

97%

form

solid

impurities

2% ethyl alcohol

mp

198 °C (dec.) (lit.)

λmax

740 nm

SMILES string

[I-].CN1c2ccccc2C(C)(C)\C1=C\C=C\C=C\C=C\C3=[N+](C)c4ccccc4C3(C)C

InChI

1S/C29H33N2.HI/c1-28(2)22-16-12-14-18-24(22)30(5)26(28)20-10-8-7-9-11-21-27-29(3,4)23-17-13-15-19-25(23)31(27)6;/h7-21H,1-6H3;1H/q+1;/p-1

InChI key

JKXWXYURKUEZHV-UHFFFAOYSA-M

Related Categories

Application

Suitable as laser dye

pictograms

Exclamation mark
GHS07

signalword

Warning

Hazard Classifications

Eye Irrit. 2 - Skin Irrit. 2 - STOT SE 3

target_organs

Respiratory system

Storage Class

11 - Combustible Solids

wgk_germany

WGK 3

flash_point_f

Not applicable

flash_point_c

Not applicable

Certificates of Analysis (COA)

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Ruoyang Yao et al.
Light, science & applications, 8, 26-26 (2019-03-12)
Macroscopic fluorescence lifetime imaging (MFLI) via compressed sensed (CS) measurements enables efficient and accurate quantification of molecular interactions in vivo over a large field of view (FOV). However, the current data-processing workflow is slow, complex and performs poorly under photon-starved
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Bioorganic & medicinal chemistry, 27(9), 1855-1862 (2019-03-27)
Many imaging probes have been developed for a wide variety of imaging modalities. However, no optical imaging probe could be utilized for both microscopic and whole animal imaging. To fill the gap, the dual-wavelength fluorescent imaging nanoprobe was developed to
M Ochoa et al.
Biomedical optics express, 11(10), 5401-5424 (2020-11-06)
Single pixel imaging frameworks facilitate the acquisition of high-dimensional optical data in biological applications with photon starved conditions. However, they are still limited to slow acquisition times and low pixel resolution. Herein, we propose a convolutional neural network for fluorescence
Judith Weber et al.
Cancer research, 79(20), 5407-5417 (2019-08-29)
Reactive oxygen species play an important role in cancer, however, their promiscuous reactivity, low abundance, and short-lived nature limit our ability to study them in real time in living subjects with conventional noninvasive imaging methods. Photoacoustic imaging is an emerging
Jason T Smith et al.
Proceedings of the National Academy of Sciences of the United States of America, 116(48), 24019-24030 (2019-11-14)
Fluorescence lifetime imaging (FLI) provides unique quantitative information in biomedical and molecular biology studies but relies on complex data-fitting techniques to derive the quantities of interest. Herein, we propose a fit-free approach in FLI image formation that is based on
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